AI can greatly enhance pharmacovigilance processes, which involve monitoring and assessing the safety and effectiveness of medications. By leveraging its advanced capabilities, AI can improve the detection and reporting of adverse drug reactions (ADRs). Through data analysis and machine learning algorithms, AI can comb through vast amounts of medical records, electronic health records, social media data, and other sources to identify patterns and signals related to potential ADRs. This enables early detection and prompt reporting of adverse events, helping pharmaceutical companies, regulatory agencies, and healthcare providers to take necessary actions swiftly. Additionally, AI can aid in automating and streamlining the pharmacovigilance process by improving data collection, risk assessment, and signal monitoring, thereby ensuring patient safety and promoting better drug regulation.
This mind map was published on 11 July 2023 and has been viewed 157 times.